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Machine Learning Engineer Python Jobs (NOW HIRING)

innovitusa

Machine Learning Engineer

Atlanta, GA

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize ... The ideal candidate will have strong experience with Python, machine learning frameworks, data ...

New

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... Ability to write robust code in Python, Java and R * Familiarity with machine learning frameworks ...

Jobtailor

Machine Learning Engineer II

California, MO · On-site

$120 - $180/hr

Proficiency in Python or Java * Experience using machine learning frameworks * Solid software engineering fundamentals * Proven ability to own and deliver ML components or services within cross ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview This role is focused on developing, deploying, and optimizing machine learning ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$75/hr

Write, review, and optimize Python and SQL code used in data analysis and machine learning ... Data Engineering experience, including building and maintaining data pipelines and analytical ...

New

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Strong software engineering skills in Python and C++. * Experience with cloud platforms ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$78 - $176/hr

Knowledge of python, java, or c++ programming * TS/SCI clearance * Bachelor's degree Nice If You Have: * Experience with machine learning operations pipelines * Ability to deploy software into a ...

Quantum Machines

Machine Learning Engineer

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ... Develop and maintain Python-based ML services and libraries that integrate with the wider Quantum ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Strong Python programming skills with experience building production‑ready systems. * Ability to ...

Errgo

NY · On-site

$120 - $160/hr

Python PyTorch TensorFlow AWS MLOps Spark About the role As a Machine Learning Engineer, the candidate will design, build, and deploy ML models that solve complex business problems at scale. This ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn ...

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Machine Learning Engineer Python information

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How much do machine learning engineer python jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning engineer python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

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Cities with the most Machine Learning Engineer Python job openings:

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Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Machine Learning Engineer@ VA/ NYC

Palnar

Manhattan, NY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Info:
  • Looking for a Machine Learning Engineer with strong python, scala, AWS, Kubernetes & machine learning frameworks.
  • 80% of model Engineering work & 20% of operations work
  • Email arbitration with real time data processing.
  • Has model in Random forest model and moving to transformers soon in feature development.

Top Skills:
  • 5+ years of exp. in Machine Learning Engineer
  • Python exp. is a must.
  • Scala exp. is a must.
  • ML Frameworks (TensorFlow, PyTorch, Scikit-learn & Keras) exp. is a must.
  • AWS exp. is a must.
  • Kubernetes exp. is a must.
  • Experience with CI/CD

Apply